Multi-Agent Reinforcement Learning (MARL) is an emerging subfield of artificial intelligence that investigates how multiple autonomous agents can learn collaboratively and competitively within an ...
Reinforcement learning (RL) is a subfield of machine learning dedicated to teaching agents to make a sequence of decisions through interactions with a dynamic environment. In RL, an agent observes the ...
Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.
FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.
18don MSN
Brain-inspired AI: Human brain separates goals and uncertainty to enable adaptive decision-making
Humans possess a remarkable balance between stability and flexibility, enabling them to quickly establish new plans and ...
AI coding tools are getting better fast. If you don’t work in code, it can be hard to notice how much things are changing, but GPT-5 and Gemini 2.5 have made a whole new set of developer tricks ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback